Explore structured learning paths and practical projects to master machine learning.
Learn the basic concepts of machine learning, including types of ML and key algorithms.
Understand the difference between supervised and unsupervised learning methods.
Dive into deep learning and understand how neural networks work.
Learn how to implement machine learning algorithms in Python with real-world examples.
Master advanced topics like reinforcement learning and unsupervised feature learning.